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Lookup NU author(s): Professor Gui Yun TianORCiD
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© 2017, Pleiades Publishing, Ltd. In this paper, an improved efficient population utilization strategy for particle swarm optimization (IEPUS-PSO) for high dimension problem is proposed to estimate defect profile from magnetic flux leakage (MFL) signals. In the IEPUS-PSO, a mutation probability is proposed to distinguish local version and global version in particle change model and a self-adapted mutation operator, which is used to update the particles’ positions randomly, is introduced into EPUS-PSO. The IEPUS-PSO- based inversing technique is used to estimate the defect profiles. The estimated defect profiles of simulation signals demonstrate that the inversing technique based on the IEPUS-PSO outperforms the one based on EPUS-PSO. The results estimated from real MFL signals by the IEPUS-PSO-based inversing technique indicate that the algorithm is capable of decreasing the computation time. The results show that the IEPUS-PSO-based inversing technique could improve the reconstruction precision by two orders of magnitude for the MFL simulation signals, and for the real MFL signals, the computation time is reduced by about 30% nearly under the same reconstruction precision.
Author(s): Han W, Wu Z, Zhou M, Hou E, Su X, Wang P, Tian G
Publication type: Note
Publication status: Published
Journal: Russian Journal of Nondestructive Testing
Online publication date: 26/02/2018
Acceptance date: 02/04/2016
ISSN (print): 1061-8309
ISSN (electronic): 1608-3385
Publisher: Maik Nauka Publishing / Springer SBM